Results 21 to 30 of about 6,847,583 (383)
IEEE Access, 2023 In this study, a multi-level path planning system is proposed for indoor search and rescue operations. Requirements for the path planning system are derived based on the operational concept of the integrated indoor navigation system. Different aspects of
Jihoon Lee +4 more
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A Review of Path-Planning Approaches for Multiple Mobile Robots
Machines, 2022 Numerous path-planning studies have been conducted in past decades due to the challenges of obtaining optimal solutions. This paper reviews multi-robot path-planning approaches and decision-making strategies and presents the path-planning algorithms for ...
Shiwei Lin +3 more
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Communication-Aware UAV Path Planning
IEEE Access, 2019 Autonomous air drones, known as unmanned aerial vehicles (UAVs), often accomplish missions with real-time video streaming leveraging the available cellular network.
Afshin Mardani +2 more
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Biologically Inspired Complete Coverage Path Planning Algorithm Based on Q-Learning
Sensors, 2023 Complete coverage path planning requires that the mobile robot traverse all reachable positions in the environmental map. Aiming at the problems of local optimal path and high path coverage ratio in the complete coverage path planning of the traditional ...
Xiangquan Tan +3 more
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Micromachines, 2020 Additive manufacturing (AM) is the process of joining materials layer by layer to fabricate products based on 3D models. Due to the layer-by-layer nature of AM, parts with complex geometries, integrated assemblies, customized geometry or multifunctional ...
Jingchao Jiang, Yongsheng Ma
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Sampling-Based Temporal Logic Path Planning [PDF]
, 2013 In this paper, we propose a sampling-based motion planning algorithm that finds an infinite path satisfying a Linear Temporal Logic (LTL) formula over a set of properties satisfied by some regions in a given environment.
Belta, Calin, Vasile, Cristian Ioan
core +1 more source
AI Magazine, 2013 In robotics and video games, one often discretizes continuous terrain into a grid with blocked and unblocked grid cells and then uses a path‐planning algorithms to find a shortest path on the resulting grid graph. This path, however, is typically not a shortest path in the continuous terrain.
Nash, Alex, Koenig, Sven
openaire +3 more sources
Automatic path planning program generation system based on swarm intelligence results
智能科学与技术学报, 2022 Path planning algorithms are widely used in various motion planning tasks, such as robot motion and autonomous driving.So far, many excellent path planning algorithms have been proposed for applications in different fields.For a specific task environment,
Yuqian WANG, Rong DING
doaj
The EBS-A* algorithm: An improved A* algorithm for path planning
PLoS ONE, 2022 Path planning plays an essential role in mobile robot navigation, and the A* algorithm is one of the best-known path planning algorithms. However, the traditional A* algorithm has some limitations, such as slow planning speed, close to obstacles. In this
Huanwei Wang +5 more
semanticscholar +1 more source